You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

We demonstrate, on both simulated and real data sets, how this approach can be used to perform linear, logistic and censored regression with functional predictors. In addition, we show how functional ...

Special properties hold for the generalized linear model. Examples from a Kenyan HIV study will illustrate the points. The purpose of the Journal of Computational and Graphical Statistics is to ...

Generalized Linear Models Generalized Linear Models Course Topics Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, ...

The general linear model is a further special case with Z = 0 and . The following two examples illustrate the most common formulations of the general linear mixed model.

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...